Trusted, enterprise-grade data delivery
DoubleData is a specialized provider of enterprise-grade data scraping services and data extraction solutions. We empower global organizations with clean, structured, and deduplicated web data for strategic competitive intelligence.
Functioning as a dedicated data partner rather than a self-service tool, we deliver end-to-end web scraping services. We handle the entire technical pipeline - including proxy management, CAPTCHA solving, and anti-bot navigation - allowing your internal data teams to focus on generating business insights rather than maintaining scraping infrastructure.
We specialize in solving complex data challenges for high-velocity industries such as Food Delivery, QCommerce, Airlines, FMCG, and Artificial Intelligence. Our solution is designed for enterprises that require more than just raw data dumps; we provide fully processed, actionable intelligence.
Our Key Services & Capabilities:
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Advanced Data Matching: Unlike standard providers, we offer proprietary data matching services. We combine machine learning with human-in-the-loop verification to deduplicate entities and create single "golden records," ensuring accurate TAM analysis and CRM enrichment.
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Granular Price Monitoring: We extract the full context of pricing data, capturing "total checkout prices" including hidden service fees, ancillary airline charges, and delivery costs.
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AI Model-Ready Datasets: We deliver curated, filtered, and structured datasets for machine learning training and RAG systems, ensuring your models are free from noise and toxicity.
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Real-Time Web Data Extraction: We provide high-frequency data feeds to support dynamic pricing strategies and live market monitoring.
We deliver ready-to-use data via API, SFTP, or direct CRM integration, backed by strict Service Level Agreements (SLAs) focused on data quality and completeness.
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Min project size
$1,000+
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Hourly rate
Undisclosed
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Employees
10 - 49
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Locations
New York, NY
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Year founded
Founded 2018
2 Locations
- New York , NY
- Warszawa , Poland
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